Computational Model Library

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Agent-based version of the simple search and barter economy conceived by Peter Diamond in 1982. The model is also known as Coconut Model.

Lewis' Signaling Chains

Giorgio Gosti | Published Wednesday, January 14, 2015 | Last modified Friday, April 03, 2015

Signaling chains are a special case of Lewis’ signaling games on networks. In a signaling chain, a sender tries to send a single unit of information to a receiver through a chain of players that do not share a common signaling system.

This model illustrates how the effective population size and the rate of change in mean skill level of a cultural trait are affected by the presence of natural selection and/or the cultural transmission mechanism by which it is passed.

This spatially explicit agent-based model addresses how effective foraging radius (r_e) affects the effective size–and thus the equilibrium cultural diversity–of a structured population composed of central-place foraging groups.

The simulation model LAMDA investigates the influences of varying cognitive abilities of the decision maker on the truth-inducing effect of the Groves mechanism. Bounded rationality concepts are represented by information states and learning models.

Symmetric two-sided matching

Naoki Shiba | Published Wednesday, January 09, 2013 | Last modified Wednesday, May 29, 2013

This is a replication model of the matching problem including the mate search problem, which is the generalization of a traditional optimization problem.

A Multi-Agent Simulation Approach to Farmland Auction Markets

James Nolan | Published Wednesday, June 22, 2011 | Last modified Saturday, April 27, 2013

This model explores the effects of agent interaction, information feedback, and adaptive learning in repeated auctions for farmland. It gathers information for three types of sealed-bid auctions, and one English auction and compares the auctions on the basis of several measures, including efficiency, price information revelation, and ability to handle repeated bidding and agent learning.

We developed an agent-based model to explore underlying mechanisms of behavioral clustering that we observed in human online shopping experiments.

This agent-based model represents a stylized inter-organizational innovation network where firms collaborate with each other in order to generate novel organizational knowledge.

Displaying 10 of 83 results learning clear search

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